Power Bi, Pyspark, PostgreSQL, SQL Server, Sql, ELT, MongoDB, Cosmos DB, Azure, Oracle, Python, AWS, Etl, Airflow, Microsoft Purview

Metadata Management, Pyspark, Dimensional Modeling, Data Quality, Data Architecture, Data Profiling, Data Security, Data Governance, Continuous Integration CI, Data Archival, Data Warehousing Analytics Solutions, Big Data Ecosystems, Star Snowflake Schemas, Cloud-native principles architectures and deployments, Dimensional Hierarchies, Enterprise Data Management, Role-playing Dimensions, Continuous Deployment CD, data classification, Data Strategy Roadmaps, Enterprise Data Engineering, Slowly Changing Dimensions SCD, Informatica Platform Engineering

Apis, Validation Rules, ELT, Etl, data quality checks, data classification workflows, data platforms, data provisioning, analytics tools, Data Lakehouse, lineage tracking, metadata capture

Adf, Sql, ELT, Microsoft Azure, Databricks, Kubernetes, Python, Etl, Airflow, embeddings, RAG systems, database integrations, vector databases, data lakehouse architectures, unstructured data processing, document parsing

snowflake , Databricks, Sql, ELT, Pyspark, Pandas, BigQuery, Etl, AWS, Python, Azure, Gcp, Git, Redshift, Prefect, Airflow, dbt, Dagster, Iceberg

Machine Learning, Sql, Python, AWS SageMaker

Hadoop, Pyspark, Scala, Kafka, Yarn, Impala, Sql, Mapreduce, Git, Hive, Docker, Spark, Linux Shell Scripting, Oozie, Kubernetes, HDFS, NiFi, Cloudera CDP

snowflake , Unix, Cron, S3, Apis, Csv, Data Warehousing, Json, Sql, ELT, Lambda, Git, Ec2, Linux, Kubernetes, Python, Etl, AWS, Airflow, Matillion

Data Profiling, Sql, Data cleansing and standardization, Scorecards and metrics, Informatica PowerCenter Cloud Data Integration, Rule development, Data quality frameworks and best practices, ETL data pipeline concepts